How can remote sensing images distinguish forest land from grassland? Hope to answer in detail.

1. On high-resolution remote sensing images, vegetation types can be distinguished by using plant spectra, and the types of trees, shrubs and grasslands can be directly determined.

Herbs in high-resolution remote sensing images show a large uniform tone, but they will not show a large uniform tone because they are relatively low and can't see shadows.

2. According to the sign of thermal infrared image interpretation, the woodland is dark gray to dark gray during the day, light gray at night and black or dark gray at night on the grassland.

3. According to the color synthesis of TM3, TM4 and TM5, the woodland is dark red, the mountain terrain is strong, the ridge is red with black tone, and the grassland is purple patch and strip image.

Extended data

Imaging mode of remote sensing image

1, aerial photography

Photographic imaging is a technology to obtain images of objects through imaging equipment. Traditional photographic imaging relies on optical lens and photosensitive film placed on the focal plane to record the image of the object.

Digital photography records the image of an object with digital signals through the optical/electrical conversion of photosensitive elements placed on the focal plane.

2. Aerial scanning

Scanning imaging relies on detection elements and scanning mirrors to sample the target object point by point and line by line with the instantaneous field of view as the unit, so as to obtain the electromagnetic radiation characteristic information of the target object and form an image with a certain spectral band.

3. Microwave radar

The working wavelength of microwave imaging radar is in the microwave band of 1mm- 1m, because microwave radar is an active sensor with its own energy source, and microwave has the ability to penetrate clouds.

Therefore, microwave radar imaging has all-weather and all-weather characteristics. In urban remote sensing, this imaging method is of great significance for identifying microwave-sensitive targets.

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